Course Name
Course Code : NXX20
Venue Details
Postal Code : 28014
Session Dates
Duration: 2 days (14 hours)
The DeepSeek AI for Research Training is a practical, research-oriented program designed to help researchers, PhD scholars, faculty, data analysts, and R&D professionals use DeepSeek AI models to accelerate literature review, data interpretation, experiment documentation, and research communication, while maintaining academic integrity, reproducibility, and ethical standards.
The course focuses on applying DeepSeek AI as a research assistant to support — not replace — critical thinking, methodology design, and scholarly judgment.
Role of AI in modern research
Overview of DeepSeek AI capabilities
Benefits and limitations for researchers
AI as a research assistant, not an author
DeepSeek AI interface and usage
Research-specific prompting techniques
Understanding accuracy and hallucinations
Best practices for scholarly use
Summarizing research papers
Extracting key findings and contributions
Comparing multiple papers
Creating structured literature matrices
Identifying themes and trends
Grouping findings across studies
Creating narrative literature reviews
Supporting systematic review workflows
Refining research questions
Generating hypothesis alternatives
Mapping research gaps (support)
Clarifying scope and objectives
Drafting experimental protocols
Documenting data collection methods
SOPs for lab or field work
Ensuring clarity and reproducibility
Explaining tables and basic results
Drafting result interpretations (support)
Creating plain-language summaries
Avoiding over-interpretation
Drafting sections (introduction, methods, discussion)
Improving clarity and academic tone
Grammar and style editing
Reference and citation support
Maintaining digital lab notebooks
Structuring research notes
Creating experiment logs
Knowledge organization for projects
Drafting proposal outlines
Writing objectives and impact sections
Improving clarity of technical narratives
Supporting (not replacing) proposal strategy
Creating research presentation outlines
Summarizing findings for slides
Drafting poster text
Communicating research to non-experts
Shared research documentation
Cross-team knowledge summaries
Internal research reports
Communication within research groups
Plagiarism and authorship considerations
Disclosure of AI assistance
Data privacy and sensitive research data
Institutional AI policies
Fact-checking AI-generated content
Verifying interpretations
Avoiding fabricated references
Human review workflows
Hands-on Exercises
Summary and Conclusion
Mode of Delivery : The event can be attended both online and at nearby ProgNXT classroom by Individual Professionals and Corporate Employees as per the seat availability. Please Contact Us at [email protected] for checking the seat availability
Audience : We have a global audience that logs in to using their own computers to work hand in hand with our world-class instructors.
Assessment : Each training course will have ProgNXT Assessment at the end.
Certification : After successful passing of ProgNXT Assessment, ProgNXT Certification will be provided, which has got acceptance in 55+ Countries.
| Global Region | Location | Start Date | End Date | Action |
|---|---|---|---|---|
| | | | | |
| | | | | |
| | | | | |
| | | | | |
| | | | | |